GCP AI Platform Architect / Lead AI Platform Engineer Job at TeamQuest Sp. z o. o. (Katowice)

Technical Lead - Full-Stack AI Engineer - Private Equity SaaS

Our client, a cutting-edge SaaS platform for private equity and venture capital,...

Location

United States , Chicago

Salary:

170000.00 - 200000.00 USD / Year

Selby Jennings

Expiration Date

Until further notice

Requirements

6+ years in full-stack development
Strong skills in Go, Python, Node.js, and modern frontend frameworks (React, Next.js.)
Hands-on with LLMs (OpenAI, Anthropic preferred) and vector search (Pinecone, pgvector.)
Experience deploying in cloud environments (AWS, Azure, GCP.)
Startup-ready: thrives in ambiguity and owns projects end-to-end while moving fast and not overthinking.

Job Responsibility

Build scalable full-stack applications integrating AI agents into a secure SaaS platform.
Develop and optimize LLM pipelines, prompts, and backend systems (Supabase, Postgres, vector DBs).
Architect APIs and microservices for data processing and retrieval.
Implement responsive, high-performance frontend interfaces for complex workflows.
Ensure compliance with SOC 2, GDPR, and SEC standards.
Collaborate with product and design teams to translate requirements into seamless user experiences.

What we offer

equity

Fulltime

Engineering Manager for B2B Platform

Groupon is on a radical journey to transform our business with relentless pursui...

Location

Salary:

Not provided

Groupon

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience
2+ years leading teams (ideally in scale-up/start-up or high-growth environments)
Strong hands-on backend knowledge (TypeScript/Node.js, Java
Python for AI/ML are a plus)
Confident shipping modern web apps (React), distributed systems, and cloud infrastructure (GCP preferred)
Communicator & Builder—adept at translating business priorities into technical roadmaps, making the complex simple for diverse stakeholders
Builder’s Mindset: Comfortable with ambiguity, moving fast, iterating, and modernizing legacy systems

Job Responsibility

Build & Lead a high-performing, diverse team (5–6 engineers) across EMEA and India
Code & Mentor: Be a hands-on leader—actively developing alongside your team in TypeScript (Encore), Python (AI agents), and React
Architect the Future: Own the design and evolution of our AI-powered agent platform, incorporating RAG pipelines, vector stores, and robust evaluation frameworks
Modernize & Move Fast: Overhaul critical workflows, automate deal and merchant onboarding with AI, and deliver pragmatic improvements with business impact
Collaborate Globally: Work side-by-side with product managers, data scientists, UX, and senior engineering leaders to drive high-impact outcomes
Champion AI Innovation: Leverage and advocate for AI tools every day—in how you build, lead, and solve real business challenges

What we offer

Greenfield & Visible: Build on a new codebase, shape engineering culture, and make a measurable impact from day one
AI-First Company: Be part of a true transformation, leveraging AI in live, critical commerce workflows—not just R&D
Career Growth: Lead your own team, influence platform and tech direction, and help rebuild an iconic global business at scale
Modern Ways of Working: Remote-first options, flexible hours, high-trust and support from senior tech/product leadership

AI Architect

As an AI Architect, you will design, develop, and implement innovative and scala...

Location

Poland , Warszawa

Salary:

Not provided

Robert Bosch Sp. z o.o.

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
8+ years of experience in AI/ML solution design and architecture
Hands-on experience with Python, SQL, and frameworks like TensorFlow, PyTorch, and Hugging Face
Proven expertise in cloud platforms (AWS, Azure, GCP) and MLOps practices
Demonstrated ability to scale AI models into production environments
Strong problem-solving and analytical skills with a focus on business impact
Excellent communication and collaboration abilities
In-depth knowledge of AI/GenAI deployment techniques and advanced architectures
Fluent proficiency in both English and Polish

Job Responsibility

Architect scalable AI frameworks, ensuring seamless integration into enterprise systems
Oversee the development and deployment of AI solutions, with a focus on optimizing performance, scalability, and operational efficiency
Lead the design and execution of proofs of concept (PoCs) and pilot implementations to validate AI applications
Manage the transition of AI models from development to production, ensuring reliability, retraining cycles, and operational excellence
Implement best practices for infrastructure, including containerized deployments (e.g., Kubernetes, Docker), microservices and serverless architectures
Work with advanced tools, including vector databases, cloud-native AI platforms (AWS, Azure, GCP), and retrieval-augmented generation (RAG) architectures for enterprise LLM workflows
Stay ahead of emerging trends to ensure the adoption of the most effective tools and frameworks
Collaborate with data scientists, engineers, and business stakeholders to align AI strategies with organizational objectives
Translate business needs into technical specifications and scalable architectures
Oversee model performance monitoring and establish evaluation frameworks to identify areas for improvement

What we offer

Competitive salary + annual bonus
Hybrid work with flexible working hours
Referral Bonus Program
Copyright costs for IT employees
Complex environment of working, professional support and possibility to share knowledge and best practices
Ongoing development opportunities in a multinational environment
Broad access to professional trainings (incl. language courses), conferences and webinars
Private medical care and life insurance
Cafeteria System with multiple benefits (incl. MultiSport, shopping vouchers, cinema tickets, etc.)
Prepaid Lunch Card

Fulltime

Principal Site Reliability Engineer (AI-first SRE)

Groupon is modernizing its global platform — and reliability is at the center of...

Location

Peru

Salary:

Not provided

Groupon

Expiration Date

Until further notice

Requirements

10+ years in software/systems engineering, including 5+ years in SRE or platform reliability
Strong experience with GCP (preferred) or AWS, Kubernetes, and Terraform
Proficiency in Python or Go for automation and tooling
Deep understanding of observability stacks (Prometheus, Grafana, OpenTelemetry) and service meshes (Istio, Envoy)
Hands-on AIOps experience: anomaly detection, predictive analytics, ML-assisted operations
Strong communication and influencing skills — data over hierarchy

Job Responsibility

Architect and maintain self-healing systems with 99.9%+ availability targets
Use AI/ML to automate infrastructure governance and detect configuration or IaC anti-patterns
Implement adaptive SLIs/SLOs that evolve automatically from real-time data
Build AIOps-based observability and auto-remediation pipelines
Apply predictive modeling to forecast failures before they impact users
Lead chaos, performance, and resilience testing programs
Map platform and service behavior to revenue impact and drive improved revenue resilience through better infrastructure performance
Mentor engineers and drive reliability standards across teams
Partner with platform, data, and product teams to ensure stability aligns with business goals
Support major incident response, incident review, and participate in on-call rotations

What we offer

The opportunity to work with cutting-edge technologies in a transformative environment
Professional growth and leadership development pathways tailored to your aspirations
A chance to leave a lasting impact by shaping the future of reliable and scalable systems

Engineering Manager for B2B platform

Groupon is on a radical journey to transform our business with relentless pursui...

Location

Spain , Madrid; Valencia

Salary:

Not provided

Groupon

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience
2+ years leading teams (ideally in scale-up/start-up or high-growth environments)
Strong hands-on backend knowledge (TypeScript/Node.js, Java
Python for AI/ML are a plus)
Confident shipping modern web apps (React), distributed systems, and cloud infrastructure (GCP preferred)
Communicator & Builder—adept at translating business priorities into technical roadmaps, making the complex simple for diverse stakeholders
Builder’s Mindset: Comfortable with ambiguity, moving fast, iterating, and modernizing legacy systems

Job Responsibility

Build & Lead a high-performing, diverse team (5–6 engineers) across EMEA and India. Set a culture of ownership, technical excellence, and experimentation
Code & Mentor: Be a hands-on leader—actively developing alongside your team in TypeScript (Encore), Python (AI agents), and React
Architect the Future: Own the design and evolution of our AI-powered agent platform, incorporating RAG pipelines, vector stores, and robust evaluation frameworks. Shape migration from legacy Java services to modern, cloud-native solutions (GCP)
Modernize & Move Fast: Overhaul critical workflows, automate deal and merchant onboarding with AI, and deliver pragmatic improvements with business impact
Collaborate Globally: Work side-by-side with product managers, data scientists, UX, and senior engineering leaders to drive high-impact outcomes
Champion AI Innovation: Leverage and advocate for AI tools every day—in how you build, lead, and solve real business challenges

What we offer

Greenfield & Visible: Build on a new codebase, shape engineering culture, and make a measurable impact from day one
AI-First Company: Be part of a true transformation, leveraging AI in live, critical commerce workflows—not just R&D
Career Growth: Lead your own team, influence platform and tech direction, and help rebuild an iconic global business at scale
Modern Ways of Working: Remote-first options, flexible hours, high-trust and support from senior tech/product leadership
Candidate-First Process: Expect live, practical interview tasks where you’re encouraged to leverage AI tools—just like you would on the job

AI Solutions Architect

Strategic AI Architecture & Innovation; Project Leadership & Execution; Technica...

Location

Qatar , Doha

Salary:

Not provided

Beyond Limits

Expiration Date

Until further notice

Requirements

Bachelor’s in computer science, Software Engineering, or related
10+ years managing software engineering, AI, or data analytics projects in Oil & Gas or similar heavy industries
Demonstrated success in managing and aligning diverse stakeholders
Communication: Articulate technical concepts—architecture diagrams, code quality metrics—to both technical and non technical audiences
Analytical: Extract insights from performance metrics, error rates, and project KPIs to drive continuous improvement
Problem Solving: Quickly diagnose system failures, code regressions, and data pipeline issues, and lead resolution
Deep expertise in Agile methodologies (Scrum, Kanban) and a solid grasp of Waterfall practices
Hands-on experience with tools such as Jira, Confluence, CI/CD pipelines (e.g., Jenkins, GitLab CI), and cloud platforms (OCI, GCP)
Solid understanding of the architectural and operational differences between cloud-native and on-premises software environments
Fluent in both Arabic and English

Job Responsibility

Design & Integration: Lead the design of scalable AI architectures that seamlessly integrate with existing enterprise systems, directly addressing complex industrial challenges
Customization & Prototyping: Develop tailored AI models and proof-of-concept prototypes that demonstrate clear business value and operational impact
Feasibility Analysis: Conduct technical feasibility assessments to validate solution designs and ensure alignment with strategic business requirements
End-to-End Management: Oversee the full lifecycle of AI projects—from initial scoping and conceptualization to deployment and post-implementation support—ensuring timely delivery and budget adherence
Stakeholder Collaboration: Engage closely with client representatives, internal R&D teams, and technical staff to maintain clear communication and alignment on objectives, deliverables, and timelines
Risk & Quality Assurance: Implement effective risk management strategies while maintaining rigorous quality standards throughout project execution
Pre-Sales Expertise: Serve as the technical authority during pre-sales activities, articulating the capabilities of Beyond Limits’ platforms, frameworks, and products to prospective clients
Partner Selection & Training: Identify and select the right delivery partners, then train and support them on our technologies to ensure they meet our high technical standards
Collaborative Oversight: Work in close partnership with delivery leads and external developers to manage project development, ensuring seamless integration and successful client outcomes
Strategic Advisory: Provide high-level consulting on AI strategies and digital transformation roadmaps that empower clients to gain competitive advantages

AppSec & AI Security Architect

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Cybersecurity, Computer Science, or Engineering
10+ years of experience in application or product security architecture, preferably in large enterprise or SaaS environments
Proven expertise in secure application and API design, cloud-native security, and DevSecOps enablement
Proven expertise in secure application and API design, WAAP, and ASPM solutions
Strong experience with Kubernetes (K8s), containerization, and service mesh architectures
Hands-on experience implementing or governing GitOps pipelines and policy-as-code frameworks (e.g., OPA/Gatekeeper, Kyverno)
Knowledge of Zero Trust, data protection, and modern identity standards (OIDC, OAuth2)
Familiarity with AI/ML security risks, model governance, and responsible AI adoption
Deep knowledge of OWASP ASVS, NIST CSF, ISO 27034, and CIS Controls
Desired Certifications: CISSP, CSSLP, SABSA, CCSP, CKA (Certified Kubernetes Administrator), or CCSK.

Job Responsibility

Defining and maintaining secure application architecture patterns, reference designs, and reusable components across enterprise and cloud-native ecosystems
Performing architecture risk assessments and threat modeling for major application programs, APIs, and platforms
Leading adoption of Web Application and API Protection (WAAP) controls and Application Security Posture Management (ASPM) tools to enable continuous risk visibility and compliance
Embedding security controls in SDLC and CI/CD pipelines, including SAST, DAST, SCA, IaC, and container scanning
Designing and governing security for Kubernetes-based and containerized workloads, including service mesh and runtime protection
Developing and enforcing standards for API and microservices security, including authentication, authorization, and token lifecycle management (OAuth2, OIDC, mTLS)
Establishing secure-by-default configurations for CI/CD and GitOps pipelines (e.g., ArgoCD, Flux, Jenkins, GitHub Actions)
Partnering with engineering teams to design secure cloud-native and hybrid architectures across AWS, Azure, and GCP
Providing security guidance for applications leveraging AI/ML or LLM capabilities, such as input/output sanitization, model integrity, and data protection
Establishing application security KPIs, governance models, and maturity metrics

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion.

Fulltime

New